There are 3 repositories under mistral-ai topic.
A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
Desktop AI assistant for Windows, Mac and Linux
Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Anthropic Claude, Cohere Command, Google Gemini, Maritaca AI, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
Open spec for Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
A Ruby gem for interacting with Mistral AI's large language models.
chat with pdf with mistral.ai + streamlit
HTTP API for Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
Boost productivity and power your workflow with Nano Bots for Visual Studio Code: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.
AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.
A 1:1 Ruby port of the official Mistral Python client, with feature and API parity.
CodeStral-Code-Assistant is a chatbot designed to assist users with code-related questions. It provides code solutions, including descriptions, programming language details, imports, functional code blocks, and sample input/output.
pwshBedrock is a PowerShell module designed to simplify interaction with Amazon Bedrock foundation models. It enables users to send messages, retrieve responses, manage conversation contexts, generate images, and estimate costs. Supporting both InvokeModel and Converse API, it streamlines AI integration in PowerShell workflows.
An amazing UI for Mistral API (Website + Windows + MacOS + Linux) - Based on BetterGPT by ztjhz
MacMistral is a SwiftUI application designed for macOS, allowing users to access the Mistral AI chat directly from their menubar. This app provides a convenient way to interact with the Mistral AI without needing to open a browser or switch between applications.
Mistral AI with React Native
Mistral-java-client is a client for the Mistral.ai API. It allows you to easily interact with the Mistral AI models. Currently supports all mistral chat completion and embedding models.
A versatile CLI and Python wrapper for Mistral AI's 'Mixtral', 'Mistral' and 'NeMo' large language models. Streamline the creation of chatbots and generate dynamic text with ease.
Simple backend proxy API to handle requests between your macOS SwiftUI app and the Mistral AI API (or another third-party AI API)
A simple RAG implementation of the Mistral 7B Instruct model on a fully open-source stack.
AI-powered Django-Chat is an innovative chat application that combines the robustness of Django with cutting-edge language models with seamless integration of real-time communication and artificial intelligence, providing users with an intelligent conversational experience.
🍔 Automates a food order from a json food menu using Retrieval-Augmented Generation (RAG) with OpenAI and MistralAI.
This is a comprehensive application that provide AI-generated responses and analysis related to the Sri Lankan Elections 2024. Using advanced technologies like LangChain, FAISS, and LLM models, this project offers an interactive interface for users to query election manifestos, compare candidates, and get predictions on election outcomes.
Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).
AI-powered content generator using GPT-4 and Mistral. Transform your ideas into polished content with customizable templates. Built with Streamlit and LangChain.
Building domain knowledge specifically in PDDL from natural language descriptions using LLMs
A noob's guide to AI Agents and RAG implementation using mistral-ai